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Research Engineer, Economic Research Data Platform

Anthropic
Hybrid - San Francisco, CA, at least 25% in officeUpdated 1d ago
Compensation
$320k–$405k
Published range · Top quartile for Engineering (582 listings)
Location
Hybrid - San Francisco, CA, at least 25% in office
Remote eligibility
Employment
Full-time
Mid-level
Role family
Engineering
AI / ML
Role skills
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About the job

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. The Economic Research Data Platform team, part of the Anthropic Institute, studies AI's economic impact. As a Research Engineer, you will design, build, and maintain critical infrastructure powering research on AI's economic effects, including data pipelines, ML systems, and APIs.

Responsibilities

  • Build and operate data pipelines that turn raw usage data into clean, privacy-preserving datasets.
  • Design systems including classifiers, probes on model internals, and ML pipelines to understand Claude's usage and economic impact.
  • Develop self-serve workflows to ingest and integrate external data sources.
  • Develop APIs, libraries, and interfaces serving data to researchers and the public.
  • Partner with researchers, data scientists, policy experts, and cross-functional teams.
  • Contribute to roadmap, documentation, and practices for self-serve data access with safety and governance.
  • Ensure data reliability, integrity, and privacy compliance.

Qualifications

  • Significant experience building data-intensive applications, pipelines, or internal tooling in production.
  • Experience with cloud infrastructure (AWS or GCP) and clean, well-documented Python.
  • Intuition for analytics workflows and empathy for researchers/data scientists.
  • Comfort making technical decisions with incomplete information while maintaining engineering standards.
  • Full-stack mindset and strong communication skills.
  • Interest in AI's economic implications.

Bonus Qualifications

  • Experience with modern data transformation, orchestration, and query frameworks.
  • Building systems on LLMs.
  • Privacy-preserving data systems or data governance/lineage tooling.
  • Building and operating web services.
  • Full-stack development or complex data visualization.
  • Background in econometrics, statistics, or quantitative social science.

Compensation

Annual salary: $320,000—$405,000 USD.

Location and Hybrid Policy

San Francisco, CA. Hybrid: all staff expected in one of our offices at least 25% of the time.

Visa Sponsorship

Anthropic sponsors visas and will make reasonable efforts to obtain one for successful candidates.

Skills & tags

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